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Senior Cloud Infrastructure Engineer

VettedBench
Posted today · Apply by 11 Nov 2026
6-7 yrsRemote

About this role

**About The team**

The team is the AI-native credit infrastructure that connects global capital to the global majority. We combine proprietary risk intelligence with an expanding network of capital and distribution partners to power credit access at scale. To date, The team has distributed more than $9 billion in capital to more than 14 million customers across Africa, Latin America, and Asia, building the definitive contextual dataset on thin-file borrowers in emerging markets. The team is now converting that foundation into shared infrastructure that partners, capital providers, and ecosystems can build on.

The company has been named to the Fortune Impact 20 list, CNBC’s World’s Top Fintech Companies twice, CNBC Disruptor 50 for five years, and Forbes’ Fintech 50 list for ten years running.

Given the global nature of our team, we operate on a remote-first approach with office hubs in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.

Most The teamzens join us because they connect with our mission. If you are energized by the impact you can make at The team, we’d love to hear from you!

**The Role**

We are currently seeking a DevOps Engineer to design, implement and maintain suitable infrastructure and applications on AWS public cloud environments using DevOps mindset. You will bring world class cloud-native infrastructure & automation expertise to implement solutions for deployment, monitoring & remediation in an automated fashion.

### **What You'll Do**

  • Drive automation of infrastructure & platform services in Public Clouds, preferably AWS using Terraform and Ansible
  • Architect new solutions with development for infra & platform
  • Design and manage Continuous deployment using Kubernetes, ArgoCD, Jenkins and GHA
  • Monitor applications and services within the environments & be part of the on-call rotation to resolve issues and implement strategies to prevent future occurrences
  • Set up intelligent application performance alerts in observability tools to find and fix issues before they impact business services and end-users

### **What You'll Need**

  • Understanding of how cloud-based web applications work and interest in measuring, analyzing, and improving distributed systems
  • B.S. Degree in Computer Science or related field or equivalent combination of professional development training and experience
  • 6-7 years of previous experience deploying and automating infrastructure in public cloud environments, using Infrastructure as Code such as Terraform or Ansible
  • In-depth hands-on experience with at least one public Cloud platform
  • Prior experience as a technical lead working closely with Product, Engineering and SecOps on shift-left strategies, CI/CD tools and solutions needed
  • Experience with Docker and Kubernetes in production
  • Experience with Continuous Deployment tools such as Jenkins or ArgoCD
  • Experience with Logging and Monitoring tools for SaaS such as Sumo, Splunk, Datadog etc
  • Experience using AI Tools for automation and improve productivity

Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Applications are read by our talent team, usually within two working days. If you look like a fit we will call you, and you will hear from us either way.

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